Human pose recovery is one of the most challenging research areas in computer vision. Successful estimations of the human pose provide information and simplify further tasks such as activity recognition or behaviour analysis, and therefore, it can benefit a wide range of industrial sectors such as video surveillance, physical security or sport performance enhancement.
Constant steps forward have been made in this field, solving the problem for a single person performing a simple and repetitive activity in heavily constrained scenarios. However, pose recovery of complex actions in an unconstrained environment still remains a challenging problem. Even more if we consider that interaction
scenarios are of particular interest, e.g. martial arts, boxing, football in the sports domain, fighting, theft, exchanging luggage in the surveillance domain and dancing in the arts domain. To our knowledge, no research has been done for simultaneously recovering the pose of multiple people on video footage.
The aim of this project is to produce a system that tracks the articulated motion of a group of human beings that interact with each other in the scene. The system should be able to work in real life scenarios, such as sport analysis and video surveillance, combining information from multiple cameras. The project will incorporate and combine techniques from different field of expertise, such as activity recognition, action modelling, pose estimation and human tracking.
A minimum 2.1 honours degree or equivalent in Electrical and Electronic Engineering or Computer Science or other relevant subject is required.
This 3 year PhD studentship, funded by the Department for Employment and Learning (DEL), commences on 1 October 2013, covers approved tuition fees and a maintenance grant (unknown for 2013/14) is approximately £13,000 - £14,000.
Applicants should apply electronically through the Queen's online application portal at: https://dap.qub.ac.uk/portal/
Further information available at: http://www.qub.ac.uk/schools/eeecs/PhD/PostgraduateResearchScholarships/
|Supervisor Name:||Jesus Martinez del Rincon|
|Tel:||+44 28(0) 9097 1779|
Deadline for Submission of Applications: 7th March 2013